CN108038773B - Medical health big data service method based on multi-engine integration technology - Google Patents
Medical health big data service method based on multi-engine integration technology Download PDFInfo
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Abstract
The invention discloses a medical health big data service method based on a multi-engine integration technology, which comprises the following steps: constructing a medical DTP comprehensive management platform, wherein the medical DTP comprehensive management platform comprises a digital engine, an interconnection engine and an internet of things engine; the digital engine collects order data of a bulk drug pharmacy end and a pharmacy end, and outputs the collected order data to a hospital end, a retail pharmacy end and an online pharmacy end in real time; the interconnection engine collects operation data of a pharmaceutical manufacturer end and safety data of a third-party logistics service provider end, and outputs the collected safety data to a patient end in real time; the internet of things engine collects GIS data and medicine temperature and humidity data of a third-party logistics service provider, and the data collected by the internet of things engine, the internet of things engine and the internet of things engine are mined and analyzed respectively, so that operation decisions of members of a medicine supply chain are supported. The invention can improve the operation efficiency of the medicine supply chain and reduce the medicine circulation cost and the medicine price.
Description
Technical Field
The invention relates to the technical field of medical health, in particular to a medical health big data service method based on a multi-engine integration technology.
Background
At present, the concept, standard, system and behavior of information integration among members of a Chinese medicine supply chain are lacked, so that the problems of inconsistent interfaces, poor timeliness, information isolated island and the like among the administrative information systems of the respective members are serious, and the progress of the integrated development of the Chinese medicine supply chain is influenced.
In order to effectively solve the problem caused by weak integration of the current medicine supply chain, the cloud computing and big data-based multi-engine integration technology provided by the invention is dependent on the existing scientific and technological achievements and intellectual property rights, and the integration technology of an internet of things engine, a digital internet engine and an interconnection engine is developed, so that the effective aggregation and application of multi-source heterogeneous data resources are realized, and the data requirements required by the normal operation of a medicine DTP comprehensive management platform are met.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a medical health big data service method based on a multi-engine integration technology, which can fully improve the value generation and value realization capability of medical health big data, improve the operation efficiency of a medicine supply chain and reduce the medicine circulation cost and the medicine price.
In order to solve the technical problem, the invention provides a medical health big data service method based on a multi-engine integration technology, which comprises the following steps:
(1) constructing a medical DTP comprehensive management platform, wherein the medical DTP comprehensive management platform comprises a digital engine, an interconnection engine and an internet of things engine;
(2) the digital engine collects order data of a bulk drug pharmacy end and a pharmacy end, and outputs the collected order data to a hospital end, a retail pharmacy end and an online pharmacy end in real time;
(3) the interconnection engine collects operation data of a pharmaceutical manufacturer end and safety data of a third-party logistics service provider end, outputs the collected safety data to a patient end in real time, and the patient end can also receive prescription data of a hospital end;
(4) the internet of things engine collects GIS data and medicine temperature and humidity data of a third-party logistics service provider side, the data collected by the internet of things engine, the interconnection engine and the internet of things engine are respectively mined and analyzed, and corresponding results are output to be referred by all parties in demand.
Preferably, in the step (2), the data union engine collects order data of the bulk drug pharmacy end and the pharmacy end, and outputs the collected order data to the hospital end, the retail pharmacy end and the online pharmacy end in real time, and specifically comprises the following steps:
(21) ordering the upstream bulk drug pharmaceutical manufacturer by the pharmaceutical manufacturer through a manifold engine;
(22) the upstream bulk drug pharmacy merchant receives orders and stock;
(23) the bulk drug pharmacy business end and the pharmacy business end generate distribution tasks through the number union engine, and the distribution tasks are completed by a third-party logistics service provider end under the coordination of the number union engine;
(24) and the pharmacy end feeds back the completion condition of the raw material order to the data union engine, and if the quality problem of the raw material occurs, the raw material order is reported in time for further processing.
Preferably, in the step (3), the interconnection engine collects operation data of the pharmaceutical manufacturer side and safety data of the third-party logistics service provider side, the interconnection engine outputs the collected safety data to the patient side in real time, and the patient side can also receive prescription data of the hospital side at the same time, and the method specifically includes the following steps:
(31) ordering goods from a hospital end, a retail pharmacy end and an online pharmacy end to a pharmacy end through a medicine DTP comprehensive management platform;
(32) the pharmaceutical manufacturer receives the order and prepares the order, and the RFID labels are attached to the medicines in batches;
(33) when a third-party logistics service provider end is delivered out of a warehouse and loaded with a vehicle for distributing medicines, the integrated application vehicle-mounted GPS and RFID read-write equipment simultaneously write GIS data, medicine temperature and humidity data and time into an RFID label, and upload medicine logistics process information to a medicine DTP comprehensive management platform in real time for a medicine retailer end to monitor in real time;
(34) the drug retailer side feeds back the order completion condition through the drug DTP integrated management platform;
(35) the method comprises the steps that medicine warehousing, storage and sales information is uploaded by a medicine retailer, wherein the storage information comprises medicine temperature and humidity conditions, and the sales information comprises RFID label information of sold medicines and prescription information corresponding to the medicines;
(36) and the patient side automatically determines to purchase the medicine from a hospital side, a retail pharmacy side or an online pharmacy side according to the prescription made by the doctor, and uploads the health data to the medicine DTP comprehensive management platform.
Preferably, in the step (4), the internet of things engine collects the GIS data and the medicine temperature and humidity data of the third-party logistics service provider, and specifically comprises the following steps: the third-party logistics service provider side obtains order information through the pharmaceutical manufacturer side, when the third-party logistics service provider side organizes the information of the orders out of the warehouse, loads and delivers the orders, the integrated application vehicle-mounted GPS and RFID read-write equipment simultaneously write GIS data, medicine temperature and humidity data and time into the RFID label, and meanwhile, logistics process information of the batch of medicines is uploaded to the internet of things engine and fed back to the pharmaceutical manufacturer side in real time.
Preferably, in the step (4), the data collected by the data union engine, the interconnection engine and the internet of things engine are respectively mined and analyzed, and corresponding results are output to be referred by each party in need, specifically:
(41) by means of big data analysis technologies such as correlation analysis, predictive analysis and the like, pharmaceutical business order data with time labels, which are acquired by a cascade engine, are mined to obtain demand information (including varieties, quantity, specifications and the like of raw material medicines) and supply cycle requirement information of the raw material medicines of pharmaceutical companies, so that the raw material medicine pharmaceutical companies reasonably arrange production, inventory and sale;
(42) by means of big data analysis technologies such as correlation analysis, prediction analysis and the like, order data of a medicine retailer with a time label, which are acquired by a cascade engine, are mined, and a pharmacy can check the medicine use and sale conditions of hospitals, retail pharmacies and online pharmacies in time, know market dynamics in time and formulate a scientific and reasonable production scheme;
(43) by means of big data analysis technologies such as correlation analysis, prediction analysis and the like, prescription data and medical health data which are acquired by an interconnection engine and have time labels are mined, continuous feedback of patients on medicine curative effect information is obtained, a bulk drug pharmaceutical manufacturer is helped to control the quality of bulk drugs of the bulk drug manufacturer, and meanwhile the pharmaceutical manufacturer provides high-quality services such as professional medication guidance, medication tracking reminding, disease management and the like for the patients;
(44) by means of big data analysis technologies such as correlation analysis, prediction analysis and the like, medicine safety data with time labels collected by an internet of things engine are mined, and a pharmaceutical manufacturer can check the temperature and humidity conditions and the geographical positions of medicines distributed by a third-party logistics service provider in each logistics link at any time, so that the medicine logistics quality safety is ensured.
The invention has the beneficial effects that: the professional ability and professional resources are fully utilized, the medical health big data value generation and value realization ability are improved, intermediate links of a medicine supply chain are reduced, medicine circulation cost and medicine price are reduced, medicine retail performance is improved, and multi-win of pharmaceutical manufacturers, hospitals and patients is realized.
Drawings
FIG. 1 is a system framework diagram of the present invention.
Detailed Description
As shown in fig. 1, a medical health big data service method based on multi-engine integration technology includes the following steps:
(1) constructing a medical DTP comprehensive management platform, wherein the medical DTP comprehensive management platform comprises a digital engine, an interconnection engine and an internet of things engine;
(2) the digital engine collects order data of a bulk drug pharmacy end and a pharmacy end, and outputs the collected order data to a hospital end, a retail pharmacy end and an online pharmacy end in real time;
(3) the interconnection engine collects operation data of a pharmaceutical manufacturer end and safety data of a third-party logistics service provider end, outputs the collected safety data to a patient end in real time, and the patient end can also receive prescription data of a hospital end;
(4) the internet of things engine collects GIS data and medicine temperature and humidity data of a third-party logistics service provider side, the data collected by the internet of things engine, the interconnection engine and the internet of things engine are respectively mined and analyzed, and corresponding results are output to be referred by all parties in demand.
A. A data union engine. The data union engine mainly gathers the medicine supply chain data, order data and prescription data of bulk drug pharmaceutical manufacturers, pharmaceutical manufacturers and medicine retailers, establishes a medicine operation management database and researches a management method for effectively integrating multi-source data. The method mainly comprises the following steps:
(1) and ordering by the pharmaceutical manufacturer through the upstream bulk drug pharmaceutical manufacturer by the manifold engine.
(2) The upstream bulk pharmaceutical drug manufacturer receives orders and stock, and the data union engine promotes the lateral cooperation of the bulk pharmaceutical drug manufacturer, which is beneficial to enhancing the stability of the upstream of the pharmaceutical supply chain.
(3) The bulk drug pharmaceutical manufacturer and the pharmaceutical manufacturer generate distribution tasks through the number union engine, and the third-party logistics service provider completes the distribution tasks under the coordination of the number union engine.
(4) And the pharmaceutical manufacturer feeds back the completion condition of the raw material order to the multi-union engine, and if the quality problem of the raw material occurs, the raw material order is reported in time, so that the further processing is facilitated.
B. And (4) an internet of things engine. The internet of things engine mainly gathers GIS data and medicine temperature and humidity data of third-party logistics service providers, establishes a medicine safety data information base, and develops a visual integrated management method of various spatial attribute information data and professional information data. The method mainly comprises the following steps:
the third-party logistics service provider acquires order information through a pharmaceutical manufacturer, organizes distribution, attaches RFID labels to the medicines in batches, uploads logistics process (position, temperature, humidity and the like) information of the medicines in batches to the internet of things engine, and feeds back the information to the pharmaceutical manufacturer in real time.
C. And (4) interconnecting the engines. The interconnection engine mainly gathers operation data and safety data generated by the data connection engine and the internet of things engine and health data provided by a patient, and service methods such as cloud storage, calculation, retrieval and the like of big data are realized. The method mainly comprises the following steps:
(1) drug retailers (hospitals, retail drug stores and online drug stores) order drugs to pharmaceutical manufacturers through a medicine DTP integrated management platform.
(2) And (4) receiving the order by the pharmaceutical manufacturer, stocking the order, and attaching the RFID labels to the medicines in batches.
(3) And the third-party logistics service provider goes out of the warehouse, loads, delivers and delivers the medicines, uploads the information of the medicine logistics process (position, temperature, humidity and the like) to the medicine DTP comprehensive management platform in real time, and provides the medicine retailer for real-time monitoring.
(4) And the drug retailer feeds back the order completion condition through the drug DTP integrated management platform.
(5) The drug retailer uploads drug warehousing, storage and sales information, wherein the storage information comprises conditions such as drug temperature and humidity, and the sales information comprises RFID label information of sold drugs and prescription information corresponding to the drugs.
(6) The patient can automatically decide to purchase the medicine from a hospital, a retail pharmacy or an online pharmacy according to the prescription prescribed by the doctor, and upload the health data to a medicine DTP comprehensive management platform to obtain high-quality services such as professional medication guidance, medication tracking reminding, disease management and the like.
The invention aims to provide a medical health big data service method of a multi-engine integration technology for ensuring the minimum safety risk of a patient. According to the invention, through constructing a medicine DTP comprehensive management platform, the resources and the capabilities of bulk drug pharmaceutical manufacturers, third-party logistics service providers, medicine retailers (hospitals, retail drug stores, online drug stores and the like) and patients are effectively integrated, and the pharmaceutical safety data, the pharmaceutical operation data and the patient health data are respectively mined and analyzed by using three engines of an internet of things engine, a digital engine and an internet engine, so that the aim of minimizing the safety risk of the patients is fulfilled, and the basic requirements of safe medication, economic medication and convenient medication of the patients are met.
Claims (4)
1. A medical health big data service method based on a multi-engine integration technology is characterized by comprising the following steps:
(1) constructing a medical DTP comprehensive management platform, wherein the medical DTP comprehensive management platform comprises a digital engine, an interconnection engine and an internet of things engine;
(2) the digital engine collects order data of a bulk drug pharmacy end and a pharmacy end, and outputs the collected order data to a hospital end, a retail pharmacy end and an online pharmacy end in real time;
(3) the interconnection engine collects operation data of a pharmaceutical manufacturer end and safety data of a third-party logistics service provider end, outputs the collected safety data to a patient end in real time, and the patient end can also receive prescription data of a hospital end;
(4) the internet of things engine collects GIS data and medicine temperature and humidity data of a third-party logistics service provider side, the digital internet of things engine, the interconnection engine and the internet of things engine respectively mine and analyze the collected data, and corresponding results are output to be referenced by all parties in demand; the method specifically comprises the following steps:
(41) by means of big data analysis technology of correlation analysis and predictive analysis, pharmaceutical business order data with time labels collected by a cascade engine are mined to obtain demand information and supply period requirement information of pharmaceutical companies for raw material medicines, so that the raw material medicine pharmaceutical companies reasonably arrange production, inventory and sale;
(42) by means of big data analysis technology of correlation analysis and predictive analysis, order data of a medicine retailer with a time label, which is acquired by a cascade engine, is mined, and a pharmacy can check the medicine use and sale conditions of hospitals, retail pharmacies and online pharmacies in time, know market dynamics in time and formulate a scientific and reasonable production scheme;
(43) by means of big data analysis technology of correlation analysis and predictive analysis, prescription data and medical health data which are collected by an interconnection engine and have time labels are mined, continuous feedback of patients on medicine curative effect information is obtained, a bulk drug pharmaceutical manufacturer is helped to control the quality of bulk drugs of the bulk drug manufacturer, and meanwhile the pharmaceutical manufacturer provides high-quality services of professional medication guidance, medication tracking reminding and disease management for the patients;
(44) by means of big data analysis technology of correlation analysis and predictive analysis, medicine safety data with time labels collected by an internet of things engine are mined, and a pharmaceutical manufacturer can check the temperature and humidity conditions and the geographical positions of medicines distributed by a third-party logistics service provider in each logistics link at any time, so that the medicine quality safety in the operation process of a medicine supply chain is ensured.
2. The medical health big data service method based on the multi-engine integration technology as claimed in claim 1, wherein in the step (2), the data union engine collects order data of the bulk drug pharmacy terminal and the pharmacy terminal, and outputs the collected order data to the hospital terminal, the retail pharmacy terminal and the online pharmacy terminal in real time, and specifically comprises the following steps:
(21) ordering the upstream bulk drug pharmaceutical manufacturer by the pharmaceutical manufacturer through a manifold engine;
(22) the upstream bulk drug pharmacy merchant receives orders and stock;
(23) the bulk drug pharmacy business end and the pharmacy business end generate distribution tasks through the number union engine, and the distribution tasks are completed by a third-party logistics service provider end under the coordination of the number union engine;
(24) and the pharmacy end feeds back the completion condition of the raw material order to the data union engine, and if the quality problem of the raw material occurs, the raw material order is reported in time for further processing.
3. The medical health big data service method based on multi-engine integration technology as claimed in claim 1, wherein in step (3), the interconnection engine collects operation data of a pharmacy end and safety data of a third-party logistics service provider end, outputs the collected safety data to a patient end in real time, and the patient end can also receive prescription data of a hospital end, and the method specifically comprises the following steps:
(31) ordering goods from a hospital end, a retail pharmacy end and an online pharmacy end to a pharmacy end through a medicine DTP comprehensive management platform;
(32) the pharmaceutical manufacturer receives the order and prepares the order, and the RFID labels are attached to the medicines in batches;
(33) when a third-party logistics service provider end is delivered out of a warehouse and loaded with a vehicle for distributing medicines, the integrated application vehicle-mounted GPS and RFID read-write equipment simultaneously write GIS data, medicine temperature and humidity data and time into an RFID label, and upload medicine logistics process information to a medicine DTP comprehensive management platform in real time for a medicine retailer end to monitor in real time;
(34) the drug retailer side feeds back the order completion condition through the drug DTP integrated management platform;
(35) the method comprises the steps that medicine warehousing, storage and sales information is uploaded by a medicine retailer, wherein the storage information comprises medicine temperature and humidity conditions, and the sales information comprises RFID label information of sold medicines and prescription information corresponding to the medicines;
(36) and the patient side automatically determines to purchase the medicine from a hospital side, a retail pharmacy side or an online pharmacy side according to the prescription made by the doctor, and uploads the health data to the medicine DTP comprehensive management platform.
4. The medical health big data service method based on the multi-engine integration technology as claimed in claim 1, wherein in the step (4), the internet of things engine collects the GIS data and the medicine temperature and humidity data of the third-party logistics service provider, specifically: the third-party logistics service provider side obtains order information through the pharmaceutical manufacturer side, when the third-party logistics service provider side organizes the information of the orders out of a warehouse, loads and delivers the orders, the third-party logistics service provider side integrates and applies the vehicle-mounted GPS and the RFID read-write equipment to write GIS data, medicine temperature and humidity data and time into the RFID label at the same time, and meanwhile logistics process information of the orders and the medicines is uploaded to the internet of things engine and fed back to the pharmaceutical manufacturer side in real time.
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| CN109147168A (en) * | 2018-06-29 | 2019-01-04 | 康美药业股份有限公司 | A kind of automatic medicine selling machine based on RFID |
| CN109273068B (en) * | 2018-08-06 | 2020-07-28 | 上海医药大健康云商股份有限公司 | DTP pharmacy management method, DTP pharmacy management system and readable storage medium |
| CN109767157B (en) * | 2018-12-19 | 2023-07-28 | 东南大学 | Medicine sales system based on cloud computing and big data |
| CN110097406B (en) * | 2019-05-08 | 2022-03-18 | 东南大学 | Medical service resource optimization system based on multi-pharmacy cooperation technology |
| CN117038003B (en) * | 2023-10-10 | 2023-12-12 | 德格县藏医院(藏医药研究所) | Medicine data processing method, device, equipment and storage medium |
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